Results 1 to 10 of about 518,026 (268)
Advances in Colloid and Interface Science, 2017 Network fluids are structured fluids consisting of chains and branches. They are characterized by unusual physical properties, such as, exotic bulk phase diagrams, interfacial roughening and wetting transitions, and equilibrium and nonequilibrium gels. Here, we provide an overview of a selection of their equilibrium and dynamical properties.
C S Dias +2 more
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Dynamic network prediction [PDF]
Network Science, 2020 AbstractWe present a statistical framework for generating predicted dynamic networks based on the observed evolution of social relationships in a population. The framework includes a novel and flexible procedure to sample dynamic networks given a probability distribution on evolving network properties; it permits the use of a broad class of approaches ...
Ravi Goyal, Victor De Gruttola
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Nature Communications, 2021 Race and gender bias in healthcare contribute to health disparities. Here the authors show in an experimental setting that structured information sharing networks among clinicians can reduce race and gender bias in medical decisions.
Damon Centola +4 more
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Identification in dynamic networks [PDF]
Computers & Chemical Engineering, 2018 System identification is a common tool for estimating (linear) plant models as a basis for model-based predictive control and optimization. The current challenges in process industry, however, ask for data-driven modelling techniques that go beyond the single unit/plant models.
Paul M. J. Van den Hof +2 more
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Dynamics of information networks
Journal of Applied Probability, 2023 AbstractWe explore a simple model of network dynamics which has previously been applied to the study of information flow in the context of epidemic spreading. A random rooted network is constructed that evolves according to the following rule: at a constant rate, pairs of nodes (i, j) are randomly chosen to interact, with an edge drawn from i to j (and
Andrei Sontag +2 more
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Dynamical networks in function dynamics [PDF]
Physica D: Nonlinear Phenomena, 2003 29 pages, 10 ...
Kataoka, Naoto, Kaneko, Kunihiko
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Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019 Network data that changes over time can be very useful for studying a wide range of important phenomena, from how social network connections change to epidemiology. However, it is challenging to analyze, especially if it has many actors, connections or if the covered timespan is large with rapidly changing links (e.g., months of changes with changes at
Alexandra Lee +2 more
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Journal of NeuroEngineering and Rehabilitation, 2021 Background Resting tremor is one of the most common symptoms of Parkinson’s disease. Despite its high prevalence, resting tremor may not be as effectively treated with dopaminergic medication as other symptoms, and surgical treatments such as deep brain ...
Beatriz S. Arruda +5 more
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Northeast Journal of Complex Systems, 2021 Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics of graphs meant to represent a network derived from the principle of maximum entropy and the rate of transition is obtained taking into account the natural information geometry of probability distributions.
Felipe Xavier Costa, Pedro Pessoa
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CONTROLLING NETWORK DYNAMICS [PDF]
Advances in Complex Systems, 2019 Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex ...
Aming Li, Yang-Yu Liu
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